li1311139481's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
jackfrued/Python-100-Days
Python - 100天从新手到大师
521xueweihan/HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
fluentpython/example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
OverTheWallNode/SSV2RayTrojanSSRClash
科学上网,ss, ssr, v2ray, trojan, clash, clashr,翻墙机场推荐
theislab/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
griffithlab/rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
nf-core/rnaseq
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
theislab/single-cell-best-practices
https://www.sc-best-practices.org
hbctraining/scRNA-seq
PacktPublishing/Bioinformatics-with-Python-Cookbook-Second-Edition
Bioinformatics with Python Cookbook Second Edition, published by Packt
liulab-dfci/MAESTRO
Single-cell Transcriptome and Regulome Analysis Pipeline
robi56/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
saezlab/decoupler-py
Python package to perform enrichment analysis from omics data.
mikessh/vdjtools
Post-analysis of immune repertoire sequencing data
stemangiola/CuratedAtlasQueryR
Tidy R query API for the harmonised and curated CELLxGENE single-cell atlas.
swaruplab/Single-nuclei-epigenomic-and-transcriptomic-landscape-in-Alzheimer-disease
Single-nuclei RNA-seq and ATAC-seq in Alzheimer's disease
tiroshlab/3ca
Code for reproducing the analysis in Gavish et al. "The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors".
TangFei965/pan-NK
These are scripts for pan-cacner NK cells analyses.
cssmillie/ulcerative_colitis
Starlitnightly/bioinformatic_tutorial
生物信息学相关的教程
RGLab/FAUST
Full annotation using shape-constrained trees
SchubertLab/epytope
thehouseofdata/practical-python-for-data-science
All the notebooks that were used to generate Practical Python for Data Science
jlaffy/scalop
Single Cell Analysis Operations
Jaycadox/Graphpad-Patcher
GraphPad 10.0.2 patcher/crack
MSingerLab/Blood_Tumor_Code
All the code for the Blood/Tumor project.
YichaoOU/TrackNet-Badminton-Tracking-tensorflow2
TrackNet for badminton tracking using tensorflow2